NumPy
NumPy is an open source library for the Python programming language, adding support for large, multidimensional arrays, and matrices, along with a large collection of high-level mathematical functions to operate on these arrays.
- GitHub: https://github.com/topics/numpy
- Wikipedia: https://en.wikipedia.org/wiki/NumPy
- Repo: https://github.com/numpy/numpy
- Created by: Travis Oliphant
- Related Topics: python, scipy,
- Last updated: 2026-06-26 00:18:09 UTC
- JSON Representation
https://github.com/zombietdv/n_gram-model
n_gram model implementation with numpy only
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https://github.com/agoose77/midas-tape
An Awkward-Forth backed reader of MIDAS tape files
awkward-array awkward-forth hep midas numpy tape
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https://github.com/souvikmajumder26/neural-network-from-scratch
🚀 Building a simple Neural Network to classify the images of the Fashion-MNIST dataset, using only numpy and no TensorFlow, Keras, or PyTorch.
config fashion-mnist logger neural-network neural-network-from-scratch notebook-jupyter numpy project python
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:airplane: Final project o Complexity and Optimisation course :house_with_garden:
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https://github.com/star2dust/numpy-notes
A tutorial to learn numpy and matplotlib.
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👓 Laboratory work for the 6th semester of MAI on cryptography
cryptography matplotlib numpy python
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GradWire: A NumPy-based Automatic Differentiation Engine
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Inside this repository, you'll discover a comprehensive notebook dedicated to showcasing various NumPy array methods and operations. From basic array manipulation to advanced techniques, I've compiled a collection of examples and explanations to help both beginners and seasoned Python developers deepen their understanding of NumPy.
dataanalytics numpy numpy-arrays numpy-exercises numpy-library numpy-python
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Provides a method to cache the results from functions (typically numpy-based) in persistent storage
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https://github.com/jagkagd/np-xarr
Perform a numpy array transformation intuitively by giving simple patterns.
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Python C extensions the easy way.
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Apontamento breve explicando como a função meshgrid do Numpy funciona.
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K-nearest neighbour algorithm for CIFAR-10 dataset
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Python implementation of the Galton board
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Lightweight NumPy-based neural network framework with core layers, loss functions, optimizers, and data utilities
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https://github.com/shefreenkaur/nlp_query_documents
This repository contains two implementations of an NLP document query system that processes PDF documents and ranks them based on relevance to user queries.
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Modelling food safety and food security using Python
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https://github.com/manishkumarpatel07/facial-recognition-attendance-manager
An AI-powered face recognition attendance system using Python, OpenCV, and dlib for real-time attendance tracking.
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https://github.com/freya135/smart-traffic-system
A Python-based system leveraging a Raspberry Pi to capture and process traffic images, dynamically control traffic lights and servo motors based on real-time vehicle detection using edge detection, and optimize traffic flow intelligently.
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https://github.com/muazify/pyequationsolver
A Python script that solves mathematical equations for the variable 'x' using a hybrid approach, combining symbolic solving (for exact solutions) with numerical methods (for approximations when symbolic solving is insufficient).
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Using Statistics and Data Science Project in Python using Google Colab tools, CVS and XLSX
box-plot colab-notebook cvs data-science data-scraping data-visualization heatmaps numpy python statistical-analysis statistics xlsx
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https://github.com/0nom4d/306radiator
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epitech epitech-project numpy pytest python3
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https://github.com/dulajkavinda/document-similarity-ml
📑 Check similarity between documents using td-idf and cosine similarity.
machinelearning numpy python scikit
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https://github.com/romerorodriguezd/homography-with-opencv
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computer-vision homography matrices-transformation numpy opencv opencv-python
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analytics eda matplotlib-pyplot numpy pandas-dataframe python3 seaborn
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End-to-end Python implementation of Ma et al.'s (2025) matrix-variate diffusion index models for macroeconomic forecasting. Features α-PCA factor extraction, supervised screening, and ILS estimation for high-dimensional forecasting with preserved structural information.
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https://github.com/unknownman/101-numpy
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https://github.com/amulya20010418/zomato_data_analysis
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https://github.com/al-ghaly/e-commerce-a-b-testing
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https://github.com/shariqayan/diwali_sales_analysis_python
The Diwali Sales Analysis project focuses on analyzing sales data during the Diwali festival to gain insights into customer behavior, improve customer experience, and optimize sales strategies.
data-visualization matplotlib numpy pandas python seaborn
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https://github.com/chandkund/predicting-student-grades
This project predicts student grades (G1, G2, G3) based on various features such as demographic information, study habits, family background, and other academic factors. The aim is to develop a predictive model that can assist in identifying students who may need additional support.
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https://github.com/divansh2025/python_notebook
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Logistic Regression, Grid Search, and ROC-PR curve evaluation on fraud detection dataset
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https://github.com/yimethan/basics-of-data-analysis
2023-2 Basics of Data Analysis
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https://github.com/dmarks84/ind_project_readme-generator
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Tableau Dashboard Link :
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https://github.com/chandadiya2004/movie-recommendation-system
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Sigmanoid function. Written in Python 3.13.1 with matplotlib library and numpy
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The code for my bachelor's thesis, a numerical exploration of the second part of Hilbert's 16th problem
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Last synced: 30 Apr 2026
https://github.com/dina-hosny/import-preprocess-and-visualize-a-dataset-project
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Last synced: 30 Apr 2026
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Last synced: 30 Apr 2026
https://github.com/gill-singh-a/radial-velocity-of-star
A Program that approximates the number of exoplanets and their data (Mass, Radius of Revolution and Time Period of Revolution) present in a star system given the Radial Velocity of Star with noise
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https://github.com/maguids/supervised-learning---video-games
This project consists on exploratory data analysis and the application of supervised learning models for classification using a Video Games dataset. Second Semester of the First Year of the Bachelor's Degree in Artificial Intelligence and Data Science.
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https://github.com/pramodyasahan/grade-predictor
This project aims to predict student performance based on various features such as job, study time, failures, absences, and first and second period grades. The project utilizes a linear regression model from the scikit-learn library in Python.
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https://github.com/tsar123/coffee-quality-analysis
machine learning using RandomForestRegressor and dataset with coffee data
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